I-Learn by Team Pi-thons

Inspiration

• Lack of proper teaching Facility for students in covid times
• Lack of understanding of contents in English for rural students.
• Textual content is in abundance.
• Conventional and boring method of teaching.
• Visual content give better impact on memory than textual content.

What it does

-A web-based platform that converts textual content in English to visual content in any local language.

How we built it

• Dived deep into libraries like tesseract, moviepy, selenium, beautiful soup, PIL, PyPDF, NLTK, GTTS.
• Extracting and summarising texts from a pdf.
• Application of ocr on image-based pdfs to extract content.
• Image scrapping from extracted content.
• Text to speech conversion using GTTS.
• Translation using Google translate API.

Challenges we ran into

• GTTS don't work much good in local languages, so literature contents where the emotion of content is also required is not satisfied.
• The video and audio were not in sync at first.
• The audio was first sometimes, but we have added a playback speed for a better experience of the user.

Accomplishments that we're proud of

• We have added a login and registration system which the user can accordingly use and use the app.
• User can use a wide variety of languages as well.
• Playback speeds can be manoeuvred according to the user choice.

What we learned

• Various NLP Techniques.
• GTTS and Google Translate APIs.
• Flask and ReactJS.

What's next for I-Learn

• Floating a mobile app for it.
• Made it any language to any language.

Built With

• flask
• google
• gtts
• natural-language-processing
• python
• react